- Jupyter for Data Science
- Dan Toomey
- 297字
- 2021-07-08 09:22:30
What actions can I perform with Jupyter?
Next, we see:
- A prompt Select items to perform action
- An Upload button
- A New pull down menu and
- A Refresh icon
The prompt tells you that you can select multiple items and then perform the same action on all of them. Most of the following actions (in the menus) can be performed over a single item or a selected set of items.
The Upload button will present a prompt to select a file to upload to Jupyter. This would typically be used to move a data file into the project for access in the case where Jupyter is running as a website in a remote location where you can't just copy the file to the disk where Jupyter is running.
The New pull down menu presents a list of choices of the different kinds of Jupyter projects (kernels) that are available:

We can see the list of objects that Jupyter knows how to create:
- Text File: Create a text file for use in this folder. For example, if the notebook were to import a file you may create the file using this feature.
- Folder: Yes, just like in Windows File Explorer.
- Terminals Unavailable: Grayed out, this feature can be used in a Nix environment.
- Notebooks: Grayed out,-this is not really a file type, but a heading to the different types of notebooks that this installation knows how to create.
- Julia 0.4.5: Creates a Julia notebook where the coding is in the Julia language.
- Python 3: Creates a notebook where the coding is in the Python language. This is the default.
- R: Creates a notebook where the coding is in the R language.
- Depending on which kernels you have installed in your installation, you may see other notebook types listed.
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